This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to ...

Multi-model databases can take in varying database schemas, allowing them to integrate siloed data.

For example, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database.

Example use cases include networks, social media (relationship management), search, fraud detection, real-time recommendations, and digital asset management. An example of a popular graph database ...

This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples.

This new article publication from Acta Pharmaceutica Sinica B, discusses an AI-integrated quality prediction and diagnostics framework that could transform small-sample pharmaceutical manufacturing ...

Your microservices architecture requires multiple data models. Should you opt for polyglot persistence or a multi-model database?

Open-source database startup SurrealDB Inc. said today it has closed on a $20 million funding investment that will fund its ambitions to disrupt the big data industry. The round, led by FirstMark ...